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Afzaal Hassan, Mark Wallace, Irene Moser and Daniel D. Harabor
Ridesharing effectively tackles urban mobility challenges by providing a service comparable to private vehicles while minimising resource usage. Our research primarily concentrates on dynamic ridesharing, which conventionally involves connecting drivers ...
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Yizhou Tan, Wenjing Li, Da Chen and Waishan Qiu
Understanding park events and their categorization offers pivotal insights into urban parks and their integral roles in cities. The objective of this study is to explore the efficacy of Convolutional Neural Networks (CNNs) in categorizing park events thr...
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Siham Mousa Alhaider
The investigation of linguistic landscapes (LL) among the Arab community in downtown Brooklyn, New York City, is an underserved public space in the literature. This research focused on social and commercial or ?bottom-up signs? in LL to understand their ...
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Xu Chen, Zihe Wang and Xuan Di
This paper aims to leverage Twitter data to understand travel mode choices during the pandemic. Tweets related to different travel modes in New York City (NYC) are fetched from Twitter in the two most recent years (January 2020?January 2022). Building on...
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Chong Di, Brian Sulkow, Weigang Qiu and Shipeng Sun
The questing behaviors of blacklegged ticks (Ixodes scapularis) are largely regulated by environmental factors such as temperature, humidity, and vegetation. While this relationship is relatively clear at the macro- and meso-spatial scales, it is inadequ...
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Elena A. Mikhailova, Lili Lin, Zhenbang Hao, Hamdi A. Zurqani, Christopher J. Post, Mark A. Schlautman, Gregory C. Post and George B. Shepherd
The question of liability (responsibility) for loss and damage (L&D) associated with climate change often ignores the liability for L&D from greenhouse gas (GHG) emissions which are the source of climate change-related impacts. New York State (NY...
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Thomas Lemmerz, Stefan Herlé and Jörg Blankenbach
The availability of spatial and spatiotemporal big data is increasing rapidly. Spatially and temporally high resolved data are especially gathered via the Internet of Things. This data can often be accessed as data streams that push new data tuples conti...
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Rui Xin, Linfang Ding, Bo Ai, Min Yang, Ruoxin Zhu, Bin Cao and Liqiu Meng
Bike-sharing data are an important data source to study urban mobility in the context of the coronavirus disease 2019 (COVID-19). However, studies that focus on different bike-sharing activities including both riding and rebalancing are sparse. This limi...
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Vu Trieu Minh, Reza Moezzi, Jindrich Cyrus and Jaroslav Hlava
This paper reviews the latest studies of hybrid electric vehicles (HEVs) on modelling, controls, and energy management. HEV dynamics, formulas, calculations, and schemes of vehicle parts, such as battery, converter, electric motor, generator, and HEV Sim...
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Ruijing Li, Jianzhong Guo, Chun Liu, Zheng Li and Shaoqing Zhang
With the popularity of location-based social networks such as Weibo and Twitter, there are many records of points of interest (POIs) showing when and where people have visited certain locations. From these records, next POI recommendation suggests the ne...
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